Skip to Main Content (Press Enter)

Logo UNIMORE
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Attività
  • Competenze

UNI-FIND
Logo UNIMORE

|

UNI-FIND

unimore.it
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Attività
  • Competenze
  1. Pubblicazioni

Diffusion theory applied to tool-life stochastic modeling under a progressive wear process

Articolo
Data di Pubblicazione:
2014
Citazione:
Diffusion theory applied to tool-life stochastic modeling under a progressive wear process / Braglia, M.; Castellano, D.. - In: JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING. - ISSN 1087-1357. - 136:3(2014), pp. 1-12. [10.1115/1.4026841]
Abstract:
In this paper a novel approach to the derivation of the tool-life distribution, when the tool useful life ends after a progressive wear process, is presented. It is based on the diffusion theory and exploits the Fokker-Planck equation. The Fokker-Planck coefficients are derived on the basis of the injury theory assumptions. That is, tool-wear occurs by detachment of small particles from the tool working surface, which are assumed to be identical and time-independent. In addition, they are supposed to be small enough to consider the detachment process as continuous. The tool useful life ends when a specified total volume of material is thus removed. Tool-life distributions are derived in two situations: (i) both Fokker-Planck coefficients are time-dependent only, and (ii) the diffusion coefficient is neglected and the drift is wear-dependent. Theoretical results are finally compared to experimental data concerning flank wear land in continuous turning of a C40 carbon steel bar adopting a P10 type sintered carbide insert. The adherence to the experimental data of the tool-life distributions derived exploiting the Fokker-Planck equation is satisfactory. Moreover, the tool-life distribution obtained when the diffusion coefficient is neglected and the drift is wear-dependent is able to well-represent the wear behavior at intermediate and later times.
Tipologia CRIS:
Articolo su rivista
Keywords:
Tool Wear; Tool Life; Injury theory; Stochastic Models; Tool Management; Diffusion
Elenco autori:
Braglia, M.; Castellano, D.
Autori di Ateneo:
CASTELLANO DAVIDE
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1318128
Pubblicato in:
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING
Journal
  • Dati Generali

Dati Generali

URL

http://manufacturingscience.asmedigitalcollection.asme.org/article.aspx?articleid=1832037
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0